Abstract: The capacity matching and operation optimization of heating system combined solar energy and air source heat pump for western Sichuan area dwellings were conducted. The models for capacity matching and operation optimization of the combined heating system was developed,which took the minimum life cycle cost as the objective functions,and the collector area,heat pump capacity,tank volume,and heat pump start-stop temperature and start-stop temperature difference as the decision variables. The genetic algorithm was adopted for simultaneous optimization. Taking Ganzi as the case study,the results showed that energy saving effect of the single operation optimization is remarkable. Compared with the design method,the operating cost is decreased by 19%;the coefficient of performance（COP）of the system increased by 24.3%,and the heat pump average COP increased by 10.7%. Compared to traditional design method,single operation optimization and single capacity matching,the cost of the 20-year life cycle under synchronous optimization is decreased by 19.1%,11.4% and 15.6%,respectively. The main heating source of the combined heating system in Ganzi was air heat pump and the recommended solar guarantee rate is 15%. Concurrently,the optimized capacity and control strategy are determined.